David Antony Selby — accepted AI-conference papers

2025

Rethinking Cancer Gene Identification Through Graph Anomaly Analysis

Yilong Zang, Lingfei Ren, Yue Li, Zhikang Wang, David Antony Selby, Zheng Wang +4

AAAI 2025technical

Graph neural networks (GNNs) have shown promise in integrating protein-protein interaction (PPI) networks for identifying cancer genes in recent studies. However, due to the insufficient modeling of the biological information in PPI networks, more faithfully depiction of complex protein interaction…

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2025

X-Hacking: The Threat of Misguided AutoML

Rahul Sharma, Sumantrak Mukherjee, Andrea Sipka, Eyke Hüllermeier, Sebastian Josef Vollmer, Sergey Redyuk +1

ICML 2025poster

Explainable AI (XAI) and interpretable machine learning methods help to build trust in model predictions and derived insights, yet also present a perverse incentive for analysts to manipulate XAI metrics to support pre-specified conclusions. This paper introduces the concept of X-hacking, a form of…

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